Instructions to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Notebooks
Google Colab
Kaggle
Local Apps Settings

How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Use Docker

docker model run hf.co/Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

LM Studio
Jan
Ollama
How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with Ollama:
```
ollama run hf.co/Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M
```

Unsloth Studio

How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive to start chatting

How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Run Hermes

hermes

Atomic Chat new

OpenClaw new

How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

Docker Model Runner
How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with Docker Model Runner:
```
docker model run hf.co/Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M
```

Lemonade

How to use Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull Unrestricted/Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive:Q4_K_M

Run and chat with the model

lemonade run user.Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Q4_K_M

List all available models

lemonade list

Unrestricted commited on Jun 10

Commit

ae6a5a7

verified ·

1 Parent(s): c397b44

Upload README.md with huggingface_hub

Browse files

Files changed (1) hide show

README.md +73 -0

README.md ADDED Viewed

	@@ -0,0 +1,73 @@

+---
+license: apache-2.0
+tags:
+  - uncensored
+  - qwen3
+language:
+  - en
+  - zh
+base_model: Qwen/Qwen3-4B-Instruct-2507
+---
+# Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive
+> **[Join the Discord](https://discord.gg/SZ5vacTXYf)** for updates, roadmaps, projects, or just to chat.
+Qwen3 4B 2507 Instruct uncensored by HauhauCS.
+## About
+No changes to datasets or capabilities. Fully functional, 100% of what the original authors intended - just without the refusals.
+These are meant to be the best lossless uncensored models out there.
+## Aggressive vs Balanced
+**Aggressive** applies stronger uncensoring. Use this when you need no refusals.
+## Downloads
+| File | Quant | Size |
+|------|-------|------|
+| Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-FP16.gguf | FP16 | 7.5 GB |
+| Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Q8_0.gguf | Q8_0 | 4.0 GB |
+| Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Q6_K.gguf | Q6_K | 3.1 GB |
+| Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf | Q4_K_M | 2.4 GB |
+## Specs
+- 4B parameters (dense)
+- 262K context
+- Based on [Qwen/Qwen3-4B-Instruct-2507](https://huggingface.co/Qwen/Qwen3-4B-Instruct-2507)
+## Recommended Settings
+From the Qwen team:
+**Thinking mode (default):**
+- `temperature=0.6`
+- `top_p=0.95`
+- `top_k=20`
+- `min_p=0`
+**Non-thinking mode:**
+- Add `/no_think` at the end of your prompt, or
+- `temperature=0.7`
+- `top_p=0.8`
+- `top_k=20`
+- `min_p=0`
+**Important:**
+- Use `--jinja` flag for proper chat template handling
+- Thinking mode produces `<think>...</think>` tags before responses
+## Usage
+Works with llama.cpp, LM Studio, Jan, koboldcpp, Ollama, etc.
+```bash
+# llama.cpp example
+./llama-cli -m Qwen3-4B-2507-Instruct-Uncensored-HauhauCS-Aggressive-Q4_K_M.gguf \
+  -p "Hello" --jinja -c 8192
+```